Falkonry Patterns

Generate reliable early warnings of operational conditions that are precursors to failure modes and compliance issues

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Overview

Overview

Falkonry Patterns is an advanced AI application used to rapidly build early warning systems for production monitoring. Using unsupervised or semi-supervised learning, industrial practitioners can create an accurate representation of an asset or process going through different operating conditions. Using these assessments, Falkonry Patterns provides early notifications of known failures and violations, along with their root causes, enabling the users to plan timely corrective actions.

Key features

Feature

Build

Discover meaningful patterns and build pattern models from limited historical data

Feature

Predict

Monitor live production and predict failure modes or classify operating conditions

Feature

Resolve

Use AI explanations to speed up root cause analysis and resolution

Key benefits

Feature

Time to value

Rapidly build pattern models and enable plant-scale monitoring

Feature

Avoid recurring issues

Reduce defects and improve yield by acting before any anomaly impacts the product

Feature

Save Costs

Improve workforce efficiency by saving time on building and maintaining models

How it works

Recommended Reads

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